The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Identification of preclinical Alzheimer's disease by a profile of pathogenic proteins in neurally derived blood exosomes: A case‐control study
Open accessAbstract
Background: Proteins pathogenic in Alzheimer's disease (AD) were extracted from neurally derived blood exosomes and quantified to develop biomarkers for the staging of sporadic AD. Methods: Blood exosomes obtained at one time‐point from patients with AD (n = 57) or frontotemporal dementia (FTD) (n = 16), and at two time‐points from others (n = 24) when cognitively normal and 1 to 10 years later when diagnosed with AD were enriched for neural sources by immunoabsorption. AD‐pathogenic exosomal proteins were extracted and quantified by enzyme‐linked immunosorbent assays. Results: Mean exosomal levels of total tau, P‐T181‐tau, P‐S396‐tau, and amyloid β 1–42 (Aβ1–42) for AD and levels of P‐T181‐tau and Aβ1–42 for FTD were significantly higher than for case‐controls. Step‐wise discriminant modeling incorporated P‐T181‐tau, P‐S396‐tau, and Aβ1–42 in AD, but only P‐T181‐tau in FTD. Classification of 96.4% of AD patients and 87.5% of FTD patients was correct. In 24 AD patients, exosomal levels of P‐S396‐tau, P‐T181‐tau, and Aβ1–42 were significantly higher than for controls both 1 to 10 years before and when diagnosed with AD. Conclusions: Levels of P‐S396‐tau, P‐T181‐tau, and Aβ1–42 in extracts of neurally derived blood exosomes predict the development of AD up to 10 years before clinical onset.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Altered EV profiles are detectable at prodromal stages such as MCI, supporting their value as early biomarkers. 26 , 27”
From Plasma extracellular vesicles from APOE3 Christchurch carriers display a protective phenotype in early stages of autosomal dominant Alzheimer's disease (2026) · cites this paper as [26]
In the citing paper
“Exosomes isolated from the brain, cerebrospinal fluid (CSF), and plasma of AD patients and/or AD animal models contain pathologic Aβ and tau [73, 75–77].”
From Tau and neuroinflammation in Alzheimer’s disease: interplay mechanisms and clinical translation (2023) · cites this paper as [77]
In the citing paper
“Interestingly, increased levels of exosome-associated tau have been found by some groups in the CSF and blood of individuals with AD and FTDs [55, 117].”
From Glial contributions to neurodegeneration in tauopathies (2017) · cites this paper as [117]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155
Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia
Rascovsky, K., Hodges, J. R., Knopman, D., Mendez, M. F., Kramer, J. H., Neuhaus, J., van Swieten, J. C., Seelaar, H., Dopper, E. G. P., Onyike, C. U., et al. (2011) · Brain · doi:10.1093/brain/awr179 · Cited by 5,221
Self-citationClassification of primary progressive aphasia and its variants
Gorno-Tempini, M. L., Hillis, A. E., Weintraub, S., Kertesz, A., Mendez, M., Cappa, S. F., Ogar, J. M., Rohrer, J. D., Black, S., Boeve, B. F., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e31821103e6 · Cited by 5,141
Self-citationResearch criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria
Dubois, B., Feldman, H. H., Jacova, C., DeKosky, S. T., Barberger-Gateau, P., Cummings, J., Delacourte, A., Galasko, D., Gauthier, S., Jicha, G., et al. (2007) · The Lancet Neurology · doi:10.1016/s1474-4422(07)70178-3 · Cited by 4,411
Clinical and biomarker changes in dominantly inherited Alzheimer's disease
Bateman, R. J., Xiong, C., Benzinger, T. L. S., Fagan, A. M., Goate, A., Fox, N. C., Marcus, D. S., Cairns, N. J., Xie, X., Blazey, T. M., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1202753 · Cited by 3,814
Villemagne, V. L., Burnham, S., Bourgeat, P., Brown, B., Ellis, K. A., Salvado, O., Szoeke, C., Macaulay, S. L., Martins, R., Maruff, P., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70044-9 · Cited by 2,279
Melnick, V. L., & Dubler, N. N. (1985) · Contemporary Issues in Biomedicine, Ethics, and Society · doi:10.1007/978-1-4612-5174-3 · Cited by 1,986
Alzheimer’s disease β-amyloid peptides are released in association with exosomes
Rajendran, L., Honsho, M., Zahn, T. R., Keller, P., Geiger, K. D., Verkade, P., & Simons, K. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0603838103 · Cited by 1,343
Plasma phospholipids identify antecedent memory impairment in older adults
Mapstone, M. E., Cheema, A. K., Fiandaca, M. S., Zhong, X., Mhyre, T. R., MacArthur, L. H., Hall, W. J., Fisher, S. G., Peterson, D. R., Haley, J. M., et al. (2014) · Nature Medicine · doi:10.1038/nm.3466 · Cited by 1,060
Self-citationSaman, S., Kim, W., Raya, M., Visnick, Y., Miro, S., Saman, S., Jackson, B., McKee, A. C., Alvarez, V. E., Lee, N. C. Y., et al. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m111.277061 · Cited by 985
Cited by
Sorted by citations
Items 501–600 of 961
He, L., Chen, Y., Lin, S., Shen, R., Pan, H., Zhou, Y., Wang, Y., Chen, S., & Ding, J. (2023) · Aging Cell · doi:10.1111/acel.13840 · Cited by 23
Cáceres, C., Heusser, B., Garnham, A., & Moczko, E. (2023) · Cells · doi:10.3390/cells12232669 · Cited by 26
Kumari, S., Lausted, C. G., Scherler, K., Ng, A. H. C., Lü, Y., Lee, I., Hood, L., & Wang, K. (2024) · Biomolecules · doi:10.3390/biom14121599 · Cited by 25
Odehnalová, N., Šandriková, V., Hromádka, R., Skaličková, M., Dytrych, P., Hoskovec, D., Kejík, Z., Hajduch, J., Vellieux, F. M. D., Vašáková, M., et al. (2025) · Frontiers in Medicine · doi:10.3389/fmed.2025.1539714 · Cited by 28
Lim, C. Z. J., Natalia, A., Sundah, N. R., & Shao, H. (2020) · Advanced Biosystems · doi:10.1002/adbi.201900309 · Cited by 23
Mizohata, Y., Toda, H., Koga, M., Saito, T., Fujita, M., Kobayashi, T., Hatakeyama, S., & Morimoto, Y. (2021) · Human Cell · doi:10.1007/s13577-021-00553-9 · Cited by 24
Biomarkers and Tools for Predicting Alzheimer’s Disease in the Preclinical Stage
Li, T.-R., Yang, Q. Z., Hu, X., & Han, Y. (2021) · Current Neuropharmacology · doi:10.2174/1570159x19666210524153901 · Cited by 23
Elahi, F. M., Harvey, D. J., Altendahl, M., Brathaban, N., Fernandes, N. C., Casaletto, K. B., Staffaroni, A. M., Maillard, P., Hinman, J. D., Miller, B. L., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-91759-2 · Cited by 27
Self-citationLongobardi, A., Nicsanu, R., Bellini, S., Squitti, R., Catania, M., Tiraboschi, P., Saraceno, C., Ferrari, C., Zanardini, R., Binetti, G. G., et al. (2022) · Cells · doi:10.3390/cells11030462 · Cited by 22
Wang, Y., Yuan, P., Ding, L., Zhu, J., Qi, X., Zhang, Y., Li, Y., Xia, X., & Zheng, J. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.955511 · Cited by 23
Antiphospholipid autoantibodies as blood biomarkers for detection of early stage Alzheimer’s disease
McIntyre, J. A., Ramsey, C. J., Gitter, B. D., Saykin, A. J., Wagenknecht, D. R., Hyslop, P. A., & Initiative, F. T. A. D. N. (2015) · Autoimmunity · doi:10.3109/08916934.2015.1008464 · Cited by 22
Choi, J., Kim, S., Kwak, H., Park, D., Park, J., Ryu, J., Park, C., & Kang, J. (2017) · International Neurourology Journal · doi:10.5213/inj.1734961.458 · Cited by 22
Plasma microRNA markers of upper limb recovery following human stroke
Edwardson, M. A., Zhong, X., Fiandaca, M. S., Federoff, H. J., Cheema, A. K., & Dromerick, A. W. (2018) · Scientific Reports · doi:10.1038/s41598-018-31020-5 · Cited by 22
Self-citationGBA1 mutations: Prospects for exosomal biomarkers in α-synuclein pathologies
Johnson, P. H., Weinreb, N. J., Cloyd, J. C., Tuite, P., & Kartha, R. V. (2019) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2019.10.006 · Cited by 22
de Vidania, S., Palomares-Pérez, I., Frank, A., Saito, T., Saido, T. C., Draffin, J. E., Szaruga, M., Chávez‐Gutiérrez, L., Calero, M., Medina, M., et al. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.562581 · Cited by 22
Ruan, Z., & Ikezu, T. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-32-9358-8_11 · Cited by 23
Kotarba, S., Kozłowska, M., Scios, M., Saramowicz, K., Barczuk, J., Granek, Z., Siwecka, N., Wiese, W., Golberg, M., Galita, G., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms251910797 · Cited by 24
Zhang, S., Yang, Y., Lv, X., Zhou, X., Zhao, W., Meng, L., Zhu, S., Zhang, Z., & Wang, Y. (2024) · Brain Sciences · doi:10.3390/brainsci14111049 · Cited by 22
Neuron-derived extracellular vesicle-based diagnostics for Tau and Alzheimer’s disease
Chinnathambi, S., Kumarappan, M., Malik, S., Velmurugan, G., & Chandrashekar, M. (2025) · Brain Network Disorders · doi:10.1016/j.bnd.2024.12.006 · Cited by 21
Maschio, V. P. D., Roveta, F., Bonino, L., Boschi, S., Rainero, I., & Rubino, E. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26178564 · Cited by 24
Antonio, E. E., Rosende‐Roca, M., Pérez‐Cordón, A., Gil, S., Orellana, A., Cano, A. C., Alegret, M., Espinosa, A., Alarcón‐Martín, E., Valero, S., et al. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210254 · Cited by 21
Torres, V. I., Barrera, D. P., Varas‐Godoy, M., Arancibia, D., & Inestrosa, N. C. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.735888 · Cited by 21
Haizan, I., Park, D. H., Choi, M. Y., Lee, H.-R., & Choi, J. (2023) · BioChip Journal · doi:10.1007/s13206-023-00112-4 · Cited by 21
Guo, Z., Tian, C., Shi, Y., Song, X., Yin, W., Tao, Q., Liu, J., Peng, G.-P., Wu, Z., Wang, Y., et al. (2024) · Acta Neuropathologica Communications · doi:10.1186/s40478-024-01727-w · Cited by 23
Research Progress on the Pathogenesis, Diagnosis, and Drug Therapy of Alzheimer’s Disease
Yang, Y., & Qiu, L. (2024) · Brain Sciences · doi:10.3390/brainsci14060590 · Cited by 22
Characterization of Serum Exosomes from a Transgenic Mouse Model of Alzheimer’s Disease
Rosas-Hernández, H., Cuevas, E., Raymick, J. B., Robinson, B. L., Ali, S. F., Hanig, J. P., & Sarkar, S. (2019) · Current Alzheimer Research · doi:10.2174/1567205016666190321155422 · Cited by 21
Exosome release and cargo in Down syndrome
Hamlett, E. D., LaRosa, A., Mufson, E. J., Fortea, J., Ledreux, A., & Granholm, A. (2019) · Developmental Neurobiology · doi:10.1002/dneu.22712 · Cited by 21
Chen, S., Pan, H.-Y., Huang, J.-B., Liu, X.-P., Li, J.-H., Ho, C.-J., Tsai, M., Yang, J., Chen, S., Chen, N.-C., et al. (2020) · Cells · doi:10.3390/cells9081867 · Cited by 21
Abdel–Haq, H. (2020) · Molecular Diagnosis & Therapy · doi:10.1007/s40291-020-00493-4 · Cited by 22
The Microfluidic Toolbox for Analyzing Exosome Biomarkers of Aging
DeCastro, J., Littig, J., Chou, P. P., Mack‐Onyeike, J., Srinivasan, A., Conboy, M. J., Conboy, I. M., & Aran, K. (2021) · Molecules · doi:10.3390/molecules26030535 · Cited by 21
Monteiro-Reis, S., Carvalho-Maia, C., Bart, G., Vainio, S. J., Pedro, J., Silva, E. R., Sales, G., Henrique, R., & Jerónimo, C. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22063267 · Cited by 21
Martins, T. S., Marçalo, R., Ferreira, M., Vaz, M., Silva, R. M., Rosa, I. M., Vogelgsang, J. S., Wiltfang, J., Silva, O. A. B. D. C. E., & Henriques, A. G. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22083933 · Cited by 21
Sarkar, S., Bhui, U., Kumar, B., Ashique, S., Kumar, P., Sharma, H., Bhowmick, M., Pal, R., & Kumar, T. (2024) · Current Psychiatry Research and Reviews · doi:10.2174/0126660822329981241007105405 · Cited by 25
Mustafa, M., Musselman, D. L., Jayaweera, D. T., Ferreira, A. D. F., Marzouka, G. R., & Dong, C. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252011170 · Cited by 24
Advancing Extracellular Vesicle Research: A Review of Systems Biology and Multiomics Perspectives
Kemunto, G., Ghadami, S., & Dellinger, K. (2025) · PROTEOMICS · doi:10.1002/pmic.70066 · Cited by 21
Choi, S.-J., Choi, J., Kim, J., Kim, S.-H., Cho, H.-G., Lim, M.-Y., Chae, S., Lim, K. S., Ha, S.-J., & Kim, H. (2026) · Molecules · doi:10.3390/molecules31020227 · Cited by 22
Chigozie, V. U. (2026) · Clinical and Experimental Medicine · doi:10.1007/s10238-026-02092-9 · Cited by 24
Innovative Biomarkers for Alzheimer’s Disease: Focus on the Hidden Disease Biomarkers
Ghidoni, R., Squitti, R., Siotto, M., & Benussi, L. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-170953 · Cited by 20
Arastoo, M., Lofthouse, R. A., Penny, L. K., Harrington, C. R., Porter, A., Wischik, C. M., & Palliyil, S. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21228673 · Cited by 21
Alpha-synuclein as a biomarker in Parkinson’s disease: focus on neural derived extracelluar vesicles
Agliardi, C., Guerini, F. R., Meloni, M., & Clerici, M. (2021) · Neural Regeneration Research · doi:10.4103/1673-5374.330604 · Cited by 20
Impact of endolysosomal dysfunction upon exosomes in neurodegenerative diseases
Izco, M., Carlos, E., & Alvarez‐Erviti, L. (2022) · Neurobiology of Disease · doi:10.1016/j.nbd.2022.105651 · Cited by 18
Sheng, C., Yang, K. Y., He, B., Li, T., Wang, X., Du, W., Hu, X., Jiang, J., Jiang, X., Jessen, F., et al. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215452 · Cited by 19
Exosomes in multiple sclerosis and Alzheimer's disease – Adversary and ally
Tang, N. (2023) · Biomedical Journal · doi:10.1016/j.bj.2023.100665 · Cited by 21
Burrows, K., Figueroa‐Hall, L. K., Stewart, J. L., Alarbi, A. M., Kuplicki, R., Hannafon, B. N., Tan, C., Risbrough, V. B., McKinney, B. A., Ramesh, R., et al. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02907-x · Cited by 21
Tau Spread, Apolipoprotein E, Inflammation, and More
Gonzalez, B. L., Abud, E. M., Abud, A. M., Poon, W. W., & Gylys, K. H. (2017) · Neurologic Clinics · doi:10.1016/j.ncl.2017.01.001 · Cited by 20
Chand, S., Jo, A., Vellichirammal, N. N., Gowen, A. M., Guda, C., Schaal, V. L., Odegaard, K. E., Lee, H., Pendyala, G., & Yelamanchili, S. V. (2020) · ACS Applied Nano Materials · doi:10.1021/acsanm.0c01654 · Cited by 20
Zhang, J., Chi, H., Wang, T., Zhang, S., Shen, T., Leng, B., Sun, H., Li, Z., & Li, F. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210216 · Cited by 20
MicroRNAs in Prion Diseases—From Molecular Mechanisms to Insights in Translational Medicine
Contiliani, D. F., Ribeiro, Y. D. A., de Moraes, V. N., & Pereira, T. C. (2021) · Cells · doi:10.3390/cells10071620 · Cited by 21
Clinical implications of extracellular vesicles in neurodegenerative diseases
Vinaiphat, A., & Sze, S. K. (2019) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2019.1657407 · Cited by 20
Stress-Related Roles of Exosomes and Exosomal miRNAs in Common Neuropsychiatric Disorders
Chamakioti, M., Chrousos, G. P., Kassi, E. N., Vlachakis, D., & Yapijakis, C. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25158256 · Cited by 19
Multicellular hypothesis for the pathogenesis of Alzheimer's disease
Goetzl, E. J., & Miller, B. L. (2017) · The FASEB Journal · doi:10.1096/fj.201601221r · Cited by 20
Self-citationMulti-target polydiacetylene liposome-based biosensor for improved exosome detection
Kim, C., Han, B. H., Kim, D.-W., Lee, G., Hong, C., Kang, J. Y., & Lee, K. (2021) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2021.131286 · Cited by 19
Smirnova, L., Modafferi, S., Schlett, C., Osborne, L. M., Payne, J. L., & Sabunciyan, S. (2024) · Molecular Psychiatry · doi:10.1038/s41380-023-02384-6 · Cited by 20
The Role of Tau Pathology in Alzheimer’s Disease and Down Syndrome
Granholm, A., & Hamlett, E. D. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13051338 · Cited by 23
What amyloid ligands can tell us about molecular polymorphism and disease
LeVine, H., & Walker, L. C. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.03.019 · Cited by 19
Becker, R. E., Greig, N. H., Lahiri, D. K., Bledsoe, J. R., Majercik, S. D., Ballard, C. G., Aarsland, D., Schneider, L. S. S., Flanagan, D. R., Govindarajan, R., et al. (2018) · Current Alzheimer Research · doi:10.2174/1567205015666180110120026 · Cited by 19
Self-citationAbdel–Haq, H. (2018) · Neural Regeneration Research · doi:10.4103/1673-5374.243709 · Cited by 19
Counil, H., & Krantic, S. M. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-191237 · Cited by 20
Gamage, T. K. J. B., & Fraser, M. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.744840 · Cited by 18
Noori, L., Filip, K., Nazmara, Z., Mahakizadeh, S., Hassanzadeh, G., Bavisotto, C. C., Bucchieri, F., Marino, A., Cappello, F., Wnuk, M., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24020927 · Cited by 18
Tam, S., Wear, D., Morrone, C. D., & Yu, W. H. (2024) · Journal of Neurochemistry · doi:10.1111/jnc.16108 · Cited by 20
Dayarathna, T. K., Roseborough, A. D., Gomes, J., Khazaee, R., Silveira, C. R. A., Borron, K., Yu, S., Coleman, K. K. L., Jesso, S., Finger, E. C., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14087 · Cited by 19
Walker, K. A., Chawla, S., Nogueras‐Ortiz, C. J., Coresh, J., Sharrett, A. R., Wong, D. F., Jack, C. R., Spychalla, A. J., Gottesman, R. F., & Kapogiannis, D. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.09.022 · Cited by 18
Self-citationThe oxidatively damaged DNA and amyloid-β oligomer hypothesis of Alzheimer's disease
Sanders, O. D., Rajagopal, L., & Rajagopal, J. A. (2021) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2021.08.019 · Cited by 18
Expanding the Repertoire of Biomarkers for Alzheimer’s Disease: Targeted and Non-targeted Approaches
Galasko, D. R. (2015) · Frontiers in Neurology · doi:10.3389/fneur.2015.00256 · Cited by 19
Hydrogel empowered extracellular vesicles isolation, detection, and delivery
Li, Y., Liu, Z., Zheng, Z., Bai, L., Wang, W., Min, L., Hu, H., & Shi, Y. (2025) · Nano Today · doi:10.1016/j.nantod.2025.102817 · Cited by 17
Extracellular vesicles in TDP-43 proteinopathies: pathogenesis and biomarker potential
Dellar, E. R., Nikel, L., Fowler, S. L., Vahsen, B. F., Dafinca, R., Feneberg, E., Talbot, K., Turner, M. R., & Thompson, A. G. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00859-4 · Cited by 17
Biomarkers and Tools for Predicting Alzheimer's Disease in the Preclinical Stage
Li, T., Yang, Q. Z., Hu, X., & Han, Y. (2022) · Kölner Universitäts PublikationsServer (Universität zu Köln) · Cited by 17
Rational Design of Nitrogen-Doped Carbon Dots for Inhibiting β-Amyloid Aggregation
Liu, H., Guo, H., Fang, Y., Wang, L. F., & Li, P. (2023) · Molecules · doi:10.3390/molecules28031451 · Cited by 18
Tau: a biomarker of Huntington’s disease
Lepinay, E., & Cicchetti, F. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02230-9 · Cited by 19
A meta-analysis of neurogenic exosomes in the diagnosis of Alzheimer's disease
Zhang, X., Liu, H., Huang, Y., & Wang, R. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e20604 · Cited by 17
Chang, J., Feng, Z., Li, Y., Lv, H., Liu, S., Luo, Y., Hao, N., Zhao, L., & Liu, J. (2024) · Biochemical Pharmacology · doi:10.1016/j.bcp.2024.116064 · Cited by 18
Zhang, Q., Liu, J., Wang, W., Lin, W., Waqas, A., Duan, W., Huang, S., Zhu, Z., & Chen, L. (2024) · Experimental Neurology · doi:10.1016/j.expneurol.2024.114882 · Cited by 17
Dosing, collection, and quality control issues in cerebrospinal fluid research using animal models
Barten, D. M., Cadelina, G. W., & Weed, M. R. (2017) · Handbook of clinical neurology · doi:10.1016/b978-0-12-804279-3.00004-6 · Cited by 17
The Role of Aptamer Loaded Exosome Complexes in the Neurodegenerative Diseases
Sekhon, S. S., Ahn, G., Park, G., Park, D. Y., Lee, S., Ahn, J., & Kim, Y. (2019) · Toxicology and Environmental Health Sciences · doi:10.1007/s13530-019-0392-6 · Cited by 17
Engin, A. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-49844-3_4 · Cited by 18
Extracellular Vesicles in Molecular Diagnostics
Hirshman, B. R., Kras, R. T., Akers, J. C., Carter, B. S., & Chen, C. C. (2016) · Advances in clinical chemistry · doi:10.1016/bs.acc.2016.05.005 · Cited by 17
Gonul, C. P., Karaçiçek, B., & Genç, Ş. (2025) · Developmental Neurobiology · doi:10.1002/dneu.22984 · Cited by 17
Bir, A., Ghosh, A., Chauhan, A., Saha, S., Saini, A. K., Bisaglia, M., & Chakrabarti, S. (2024) · Antioxidants · doi:10.3390/antiox13030316 · Cited by 18
Pulliam, L., Sun, B., McCafferty, E., Soper, S. A., Witek, M. A., Hu, M., Ford, J. M., Song, S., Kapogiannis, D., Glesby, M. J., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25073830 · Cited by 16
Self-citationOchocinska, M. J., Zloković, B. V., Searson, P. C., Crowder, A. T., Kraig, R. P., Ljubimova, J. Y., Mainprize, T. G., Banks, W. A., Warren, R. Q., Kindzelski, A., et al. (2017) · Fluids and Barriers of the CNS · doi:10.1186/s12987-017-0061-6 · Cited by 16
Hromádková, L., & Ovsepian, S. V. (2019) · Journal of Immunology Research · doi:10.1155/2019/7406810 · Cited by 17
Extracellular vesicle-associated proteins as potential biomarkers
Schou, A. S., Nielsen, J. E., Askeland, A., & Jørgensen, M. M. (2020) · Advances in clinical chemistry · doi:10.1016/bs.acc.2020.02.011 · Cited by 16
Winston, C. N., Langford, O., Levin, N., Raman, R., Yarasheski, K. E., West, T., Abdel‐Latif, S., Donohue, M., Nakamura, A., Toba, K., et al. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-221118 · Cited by 16
Identification of markers for the isolation of neuron-specific extracellular vesiclesPreprint
Ter‐Ovanesyan, D., Whiteman, S. T., Gilboa, T., Kowal, E. J. K., Trieu, W., Iyer, S., Budnik, B., Babila, C. M., Heimberg, G., Burgess, M. W., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.03.587267 · Cited by 16
Chen, P., Wang, F., Ling, B., Zhu, Y., Lin, H., Huang, J., & Wang, X.-L. (2025) · International Journal of Nanomedicine · doi:10.2147/ijn.s526945 · Cited by 16
Ghosh, M., Bayat, A., & Pearse, D. D. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26157246 · Cited by 19
Exosomes in Age-Related Cognitive Decline: Mechanistic Insights and Improving Outcomes
Duggan, M. R., Lu, A., Foster, T. C., Wimmer, M. E., & Parikh, V. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.834775 · Cited by 15
Enrichment of Astrocyte-Derived Extracellular Vesicles from Human Plasma
Valle‐Tamayo, N., Pérez‐González, R., Chiva‐Blanch, G., Belbin, O., Serrano‐Requena, S., Sirisi, S., González, A. C., Giró, O., Sánchez‐Aced, É., Dols‐Icardo, O., et al. (2022) · Journal of Visualized Experiments · doi:10.3791/64107 · Cited by 19
Salivary Exosomes in Health and Disease: Future Prospects in the Eye
Liu, A., Hefley, B. S., Escandon, P., Nicholas, S. E., & Karamichos, D. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24076363 · Cited by 16
Israel, L. L., Braubach, O., Shatalova, E. S., Chepurna, O. M., Sharma, S., Klymyshyn, D., Galstyan, A., Chiechi, A., Cox, A., Herman, D. A., et al. (2023) · Neurobiology of Disease · doi:10.1016/j.nbd.2023.106307 · Cited by 14
Cyr, B. S., Ranaldi, E. D. L. R. M. C., Hadad, R., Dietrich, W. D., Keane, R. W., & Vaccari, J. P. D. R. (2024) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2024.1369781 · Cited by 15
Zhu, Y., Wang, F., Xia, Y., Wang, L., Lin, H., Zhong, T., & Wang, X. (2024) · Reviews in the Neurosciences · doi:10.1515/revneuro-2024-0043 · Cited by 15
Blood biomarkers for clinical applications in Alzheimer's disease: A narrative review
Li, H., & Wang, Z. (2025) · NeuroMarkers. · doi:10.1016/j.neumar.2025.100078 · Cited by 16
Zwi‐Dantsis, L., Jayarajan, V., Church, G. M., Kamm, R. D., de Magalhães, J. P., & Moeendarbary, E. (2025) · Advanced Healthcare Materials · doi:10.1002/adhm.202500217 · Cited by 16
Elevated levels of extracellular vesicles in progranulin‐deficient mice and FTD‐GRN Patients
Arrant, A. E., Davis, S. E., Vollmer, R. M., Murchison, C., Mobley, J. A., Nana, A. L., Spina, S., Grinberg, L. T., Karydas, A. M., Miller, B. L., et al. (2020) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51242 · Cited by 15
Self-citationHeo, Y., Shin, K., Park, M. C., & Kang, J. Y. (2021) · Scientific Reports · doi:10.1038/s41598-021-85107-7 · Cited by 15
Perspective: Neuroregenerative Nutrition
Steindler, D. A., & Reynolds, B. A. (2017) · Advances in Nutrition · doi:10.3945/an.117.015388 · Cited by 18
Sowing the Seeds of Discovery: Tau-Propagation Models of Alzheimer’s Disease
Bell, B. J., Malvankar, M. M., Tallon, C., & Slusher, B. S. (2020) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.0c00531 · Cited by 15
Tunset, M. E., Haslene‐Hox, H., Bossche, T. V. D., Vaaler, A. E., Sulheim, E., & Kondziella, D. (2020) · PeerJ · doi:10.7717/peerj.9714 · Cited by 17
Metadata
- Authors
- Fiandaca, M. S., Kapogiannis, D., Mapstone, M., Boxer, A., Eitan, E., Schwartz, J. B., Abner, E. L., Petersen, R. C., Federoff, H. J., Miller, B. L., & Goetzl, E. J.
- Affiliations
- Georgetown University Medical Center (US)
- National Institute on Aging (US)
- University of Rochester Medicine (US)
- University of California San Francisco Medical Center (US)
- University of Kentucky (US)
- Mayo Clinic (US)
- Corresponding author
- Goetzl, Edward J.
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2014-08-14
- Volume
- 11
- Issue
- 6
- Pages
- 600
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC4329112
- OpenAlex
- W1995903088
- Cited by
- 959
- References
- 31
- Citations by year
- 2026: 77 · 2025: 91 · 2024: 109 · 2023: 86 · 2022: 115 · 2021: 106 · 2020: 105 · 2019: 93 · 2018: 46 · 2017: 50 · 2016: 50 · 2015: 24 · 2014: 3
- FWCI
- 28.15
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute on Aging (NIA RO1AG030753)
- National Institutes of Health (UK ADC P30 AG028383)
- Genentech
- Alzheimer's Association
- Association for Frontotemporal Degeneration
- Alzheimer's Drug Discovery Foundation
- Pfizer
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
- Keywords
- preclinical Alzheimer's disease, blood exosomes
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Cross-Sectional Studies, Enzyme-Linked Immunosorbent Assay, Female, Humans, Male, Middle Aged, Peptide Fragments, Phosphorylation, Retrospective Studies, Severity of Illness Index, Time Factors, Biomarkers, Discriminant Analysis, Case-Control Studies, Amyloid beta-Peptides, tau Proteins, Exosomes, Frontotemporal Dementia, Prodromal Symptoms
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review